Claude Opus 4.8
According to BenchLM.ai, Claude Opus 4.8 ranks #2 out of 119 models on the provisional leaderboard with an overall score of 93/100. It also ranks #3 out of 27 on the verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.
Claude Opus 4.8 is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
BenchLM links it directly to Claude Opus 4.7 (Adaptive) as the earlier related model in that lineage. This profile currently has 23 of 223 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Coding (#2), while its weakest is Multimodal & Grounded (#29). This performance profile makes it particularly well-suited for software development and code generation tasks.
Ranking Distribution
Category rank across 4 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#4Coding
#2Reasoning
Knowledge
#3Math
Multilingual
Multimodal
#29Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does Claude Opus 4.8 perform overall in AI benchmarks?
Claude Opus 4.8 currently ranks #2 out of 119 models on BenchLM's provisional leaderboard with an overall score of 93. It also ranks #3 out of 27 on the verified leaderboard. It is created by Anthropic and features a 1M context window.
Is Claude Opus 4.8 good for knowledge and understanding?
Claude Opus 4.8 ranks #3 out of 119 models in knowledge and understanding benchmarks with an average score of 98.8. It is among the top performers in this category.
Is Claude Opus 4.8 good for coding and programming?
Claude Opus 4.8 ranks #2 out of 119 models in coding and programming benchmarks with an average score of 99.1. It is among the top performers in this category.
Is Claude Opus 4.8 good for mathematics?
Claude Opus 4.8 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Claude Opus 4.8 good for agentic tool use and computer tasks?
Claude Opus 4.8 ranks #4 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 96.2. It is among the top performers in this category.
Is Claude Opus 4.8 good for multimodal and grounded tasks?
Claude Opus 4.8 ranks #29 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 68.8. There are stronger options in this category.
Is Claude Opus 4.8 good for multilingual tasks?
Claude Opus 4.8 has visible benchmark coverage in multilingual tasks, but BenchLM does not currently assign it a global category rank there.
Does Claude Opus 4.8 have full benchmark coverage on BenchLM?
Not yet. Claude Opus 4.8 currently has 23 published benchmark scores out of the 223 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Claude Opus 4.8?
Claude Opus 4.8 has a context window of 1M, which determines how much text it can process in a single interaction.
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